| 书目名称 | Versatile Video Coding (VVC) | | 副标题 | Machine Learning and | | 编辑 | Mário Saldanha,Gustavo Sanchez,Luciano Agostini | | 视频video | | | 概述 | Describes new encoding tools used in Versatile Video Coding (VVC) intra-frame prediction.Presents a detailed statistical analysis of the encoding effort in VVC intra-frame prediction.Includes a set of | | 丛书名称 | Synthesis Lectures on Engineering, Science, and Technology | | 图书封面 |  | | 描述 | This book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard. VVC reaches a compression efficiency significantly higher than its predecessor standard (HEVC) and it has a high versatility for efficient use in a broad range of applications and different types of video content, including Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360º videos, and resolution adaptivity. The authors introduce the novel VVC tools for block partitioning, intra-frame and inter-frames predictions, transforms, quantization, entropy coding, and in-loop filtering. The authors also present some solutions exploring VVC encoding behavior at different levels to accelerate the intra-frame prediction, applying statistical-based heuristics and machine learning (ML) techniques. | | 出版日期 | Book 2022 | | 关键词 | High Efficiency Video Coding; HEVC; Digital Video Coding for Next Generation Multimedia; Complexity-Awa | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-11640-7 | | isbn_softcover | 978-3-031-11642-1 | | isbn_ebook | 978-3-031-11640-7Series ISSN 2690-0300 Series E-ISSN 2690-0327 | | issn_series | 2690-0300 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:23:06
